This paper presents an energy-efficient Medium Access Control (MAC) protocol for very-high-throughput millimeter-wave
(mm-wave) wireless sensor communication networks (VHT-MSCNs) based on hybrid multiple access techniques
of frequency division multiplexing access (FDMA) and time division multiplexing access (TDMA). An energy-efficient
Superframe for wireless sensor communication network employing directional mm-wave wireless access technologies is
proposed for systems that require very high throughput, such as high definition video signals, for sensing, processing,
transmitting, and actuating functions. Energy consumption modeling for each network element and comparisons among
various multi-access technologies in term of power and MAC layer operations are investigated for evaluating the energy-efficient
improvement of proposed MAC protocol.
We present the use of phase-only filter-based correlation for fingerprint pattern identification. The main advantage of this approach is that it is distortion tolerant and can be realized in optical or electronic parallel hardware. Given that real-world fingerprints are almost never perfect, distortion tolerance can prove to be very important for this application. Our results indicate that the algorithm can identify prints with 58% of the data missing on average. With large fingerprint databases, identification can be a computationally challenging task. The high parallelism in the phase-only correlation filter makes it ideally suited to field programmable gate array (FPGA)-based hardware acceleration. We examine the FPGA-based acceleration of the fingerprint algorithm. On a Xilinx Virtex II Pro FPGA, we achieve speedups of about 47 times over an optimized C implementation of the algorithm on a 2.2-GHz AMD Opteron processor. Our FPGA implementation is optimized to allow efficient processing of large databases.
This paper describes convergence of optical and wireless access networks for delivering high-bandwidth integrated
services over optical fiber and air links. Several key system technologies are proposed and experimentally demonstrated.
We report here, for the first ever, a campus-wide field trial demonstration of radio-over-fiber (RoF) system transmitting
uncompressed standard-definition (SD) high-definition (HD) real-time video contents, carried by 2.4-GHz radio and 60-
GHz millimeter-wave signals, respectively, over 2.5-km standard single mode fiber (SMF-28) through the campus fiber
network at Georgia Institute of Technology (GT). In addition, subsystem technologies of Base Station and wireless
tranceivers operated at 60 GHz for real-time video distribution have been developed and tested.
We have designed and experimentally demonstrated optical networking technologies for generating, transmitting
and switching 100Gbit/s packet signals in optical networks. The performance of 100Gb/s packet transmission over
cascaded ROADM nodes with WSSs and over label switched metro networks are discussed.
In crime detection and security verification, fingerprint identification is extremely important. However, in the real- world fingerprint images are not distortion free. In the present work, a distortion-invariant identification method for fingerprint images is developed. The sources of distortion of fingerprint data that are considered are rotation, scaling and erosion. It is shown that rotated fingerprint images with 95% of missing data can still be recognized.